Pandas Profiling Report

Dataset statistics

Number of variables	11
Number of observations	922
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	79.4 KiB
Average record size in memory	88.1 B

Variable types

Numeric	7
Categorical	4

Alerts

`df_index` is highly correlated with `Payment Method Granted` and 2 other fields	High correlation
`Credit Limit Granted` is highly correlated with `Commercial Risk Cover Protected` and 4 other fields	High correlation
`Commercial Risk Group Code` is highly correlated with `Credit Limit Granted` and 4 other fields	High correlation
`IDCliente` is highly correlated with `df_index` and 2 other fields	High correlation
`VENTASCLIENTE` is highly correlated with `NArticulos` and 1 other fields	High correlation
`NArticulos` is highly correlated with `VENTASCLIENTE` and 1 other fields	High correlation
`NContratos` is highly correlated with `VENTASCLIENTE` and 1 other fields	High correlation
`Commercial Risk Cover Protected` is highly correlated with `Credit Limit Granted` and 4 other fields	High correlation
`Payment Method Granted` is highly correlated with `df_index` and 6 other fields	High correlation
`Payment Terms Granted` is highly correlated with `df_index` and 6 other fields	High correlation
`Status Code` is highly correlated with `Credit Limit Granted` and 4 other fields	High correlation
`df_index` has unique values	Unique
`IDCliente` has unique values	Unique
`Credit Limit Granted` has 492 (53.4%) zeros	Zeros
`Commercial Risk Group Code` has 533 (57.8%) zeros	Zeros

Reproduction

Analysis started	2022-11-01 18:03:45.133829
Analysis finished	2022-11-01 18:03:55.189431
Duration	10.06 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	922
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1514.378525

Minimum	1
Maximum	3891
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.3 KiB

Quantile statistics

Minimum	1
5-th percentile	92.05
Q1	439.25
median	1204.5
Q3	2458
95-th percentile	3606.65
Maximum	3891
Range	3890
Interquartile range (IQR)	2018.75

Descriptive statistics

Standard deviation	1178.149944
Coefficient of variation (CV)	0.7779758658
Kurtosis	-1.122984452
Mean	1514.378525
Median Absolute Deviation (MAD)	911
Skewness	0.4755752134
Sum	1396257
Variance	1388037.291
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
2066	1	0.1%
2080	1	0.1%
2081	1	0.1%
2088	1	0.1%
2090	1	0.1%
2096	1	0.1%
2101	1	0.1%
2103	1	0.1%
2106	1	0.1%
Other values (912)	912	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%
12	1	0.1%
13	1	0.1%
15	1	0.1%

Value	Count	Frequency (%)
3891	1	0.1%
3888	1	0.1%
3886	1	0.1%
3875	1	0.1%
3874	1	0.1%
3859	1	0.1%
3855	1	0.1%
3845	1	0.1%
3833	1	0.1%
3832	1	0.1%

Credit Limit Granted
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16419.7397

Minimum	0
Maximum	45000
Zeros	492
Zeros (%)	53.4%
Negative	0
Negative (%)	0.0%
Memory size	7.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	45000
95-th percentile	45000
Maximum	45000
Range	45000
Interquartile range (IQR)	45000

Descriptive statistics

Standard deviation	20070.84523
Coefficient of variation (CV)	1.222360744
Kurtosis	-1.505293659
Mean	16419.7397
Median Absolute Deviation (MAD)	0
Skewness	0.5909489081
Sum	15139000
Variance	402838828.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	492	53.4%
45000	278	30.2%
10000	43	4.7%
20000	27	2.9%
25000	18	2.0%
15000	13	1.4%
5000	11	1.2%
8000	7	0.8%
28000	6	0.7%
32000	5	0.5%
Other values (6)	22	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	492	53.4%
5000	11	1.2%
8000	7	0.8%
10000	43	4.7%
12000	3	0.3%
15000	13	1.4%
18000	4	0.4%
20000	27	2.9%
22000	4	0.4%
25000	18	2.0%

Value	Count	Frequency (%)
45000	278	30.2%
38000	3	0.3%
35000	5	0.5%
32000	5	0.5%
30000	3	0.3%
28000	6	0.7%
25000	18	2.0%
22000	4	0.4%
20000	27	2.9%
18000	4	0.4%

Commercial Risk Cover Protected
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.3 KiB

0.0	492
95.0	424
50.0	6

Length

Max length	4
Median length	3
Mean length	3.46637744
Min length	3

Characters and Unicode

Total characters	3196
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	95.0
4th row	0.0
5th row	95.0

Common Values

Value	Count	Frequency (%)
0.0	492	53.4%
95.0	424	46.0%
50.0	6	0.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	492	53.4%
95.0	424	46.0%
50.0	6	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	1420	44.4%
.	922	28.8%
5	430	13.5%
9	424	13.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2274	71.2%
Other Punctuation	922	28.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1420	62.4%
5	430	18.9%
9	424	18.6%

Other Punctuation

Value	Count	Frequency (%)
.	922	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3196	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1420	44.4%
.	922	28.8%
5	430	13.5%
9	424	13.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3196	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1420	44.4%
.	922	28.8%
5	430	13.5%
9	424	13.3%

Commercial Risk Group Code
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.622559653

Minimum	0
Maximum	7
Zeros	533
Zeros (%)	57.8%
Negative	0
Negative (%)	0.0%
Memory size	7.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	4
95-th percentile	6
Maximum	7
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.167435116
Coefficient of variation (CV)	1.335812284
Kurtosis	-0.8030320798
Mean	1.622559653
Median Absolute Deviation (MAD)	0
Skewness	0.8815205815
Sum	1496
Variance	4.697774983
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	533	57.8%
5	120	13.0%
4	71	7.7%
2	55	6.0%
3	54	5.9%
1	41	4.4%
6	37	4.0%
7	11	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	533	57.8%
1	41	4.4%
2	55	6.0%
3	54	5.9%
4	71	7.7%
5	120	13.0%
6	37	4.0%
7	11	1.2%

Value	Count	Frequency (%)
7	11	1.2%
6	37	4.0%
5	120	13.0%
4	71	7.7%
3	54	5.9%
2	55	6.0%
1	41	4.4%
0	533	57.8%

Payment Method Granted
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.3 KiB

0.0	492
99.0	430

Length

Max length	4
Median length	3
Mean length	3.46637744
Min length	3

Characters and Unicode

Total characters	3196
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	99.0
4th row	0.0
5th row	99.0

Common Values

Value	Count	Frequency (%)
0.0	492	53.4%
99.0	430	46.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	492	53.4%
99.0	430	46.6%

Most occurring characters

Value	Count	Frequency (%)
0	1414	44.2%
.	922	28.8%
9	860	26.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2274	71.2%
Other Punctuation	922	28.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1414	62.2%
9	860	37.8%

Other Punctuation

Value	Count	Frequency (%)
.	922	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3196	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1414	44.2%
.	922	28.8%
9	860	26.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3196	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1414	44.2%
.	922	28.8%
9	860	26.9%

Payment Terms Granted
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.3 KiB

0.0	492
180.0	430

Length

Max length	5
Median length	3
Mean length	3.932754881
Min length	3

Characters and Unicode

Total characters	3626
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	180.0
4th row	0.0
5th row	180.0

Common Values

Value	Count	Frequency (%)
0.0	492	53.4%
180.0	430	46.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	492	53.4%
180.0	430	46.6%

Most occurring characters

Value	Count	Frequency (%)
0	1844	50.9%
.	922	25.4%
1	430	11.9%
8	430	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2704	74.6%
Other Punctuation	922	25.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1844	68.2%
1	430	15.9%
8	430	15.9%

Other Punctuation

Value	Count	Frequency (%)
.	922	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3626	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1844	50.9%
.	922	25.4%
1	430	11.9%
8	430	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3626	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1844	50.9%
.	922	25.4%
1	430	11.9%
8	430	11.9%

Status Code
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.3 KiB

2.0	492
66.0	425
8.0	5

Length

Max length	4
Median length	3
Mean length	3.460954447
Min length	3

Characters and Unicode

Total characters	3191
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	66.0
4th row	2.0
5th row	66.0

Common Values

Value	Count	Frequency (%)
2.0	492	53.4%
66.0	425	46.1%
8.0	5	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	492	53.4%
66.0	425	46.1%
8.0	5	0.5%

Most occurring characters

Value	Count	Frequency (%)
.	922	28.9%
0	922	28.9%
6	850	26.6%
2	492	15.4%
8	5	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2269	71.1%
Other Punctuation	922	28.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	922	40.6%
6	850	37.5%
2	492	21.7%
8	5	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	922	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3191	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	922	28.9%
0	922	28.9%
6	850	26.6%
2	492	15.4%
8	5	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3191	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	922	28.9%
0	922	28.9%
6	850	26.6%
2	492	15.4%
8	5	0.2%

IDCliente
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	922
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26380795.55

Minimum	110007
Maximum	63500002
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.3 KiB

Quantile statistics

Minimum	110007
5-th percentile	1340502
Q1	7087505
median	24745004
Q3	41877503.25
95-th percentile	59105502.1
Maximum	63500002
Range	63389995
Interquartile range (IQR)	34789998.25

Descriptive statistics

Standard deviation	19359415.68
Coefficient of variation (CV)	0.7338450291
Kurtosis	-1.225196293
Mean	26380795.55
Median Absolute Deviation (MAD)	17580000
Skewness	0.2746874114
Sum	2.432309349 × 10¹⁰
Variance	3.747869753 × 10¹⁴
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
110007	1	0.1%
36230002	1	0.1%
36420003	1	0.1%
36430003	1	0.1%
36510002	1	0.1%
36540002	1	0.1%
36660006	1	0.1%
36710002	1	0.1%
36730004	1	0.1%
36770003	1	0.1%
Other values (912)	912	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
110007	1	0.1%
130030	1	0.1%
140010	1	0.1%
150003	1	0.1%
180003	1	0.1%
190002	1	0.1%
200004	1	0.1%
220005	1	0.1%
230004	1	0.1%
250008	1	0.1%

Value	Count	Frequency (%)
63500002	1	0.1%
63450002	1	0.1%
63420002	1	0.1%
63240002	1	0.1%
63220002	1	0.1%
62960002	1	0.1%
62860002	1	0.1%
62700002	1	0.1%
62480002	1	0.1%
62470002	1	0.1%

VENTASCLIENTE
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	891
Distinct (%)	96.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	729.5120912

Minimum	50.25
Maximum	4743.43
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.3 KiB

Quantile statistics

Minimum	50.25
5-th percentile	71.71
Q1	205.45
median	394.79
Q3	927.075625
95-th percentile	2489.53485
Maximum	4743.43
Range	4693.18
Interquartile range (IQR)	721.625625

Descriptive statistics

Standard deviation	822.9740137
Coefficient of variation (CV)	1.128115659
Kurtosis	4.494816529
Mean	729.5120912
Median Absolute Deviation (MAD)	251.6275
Skewness	2.083626812
Sum	672610.1481
Variance	677286.2272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
225.45	3	0.3%
205.45	3	0.3%
71.71	3	0.3%
90.9	3	0.3%
178.885	2	0.2%
173.72	2	0.2%
52.12	2	0.2%
59.59	2	0.2%
121.2	2	0.2%
110.09	2	0.2%
Other values (881)	898	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50.25	1	0.1%
50.5	2	0.2%
50.88	2	0.2%
51.51	1	0.1%
51.616	1	0.1%
52.12	2	0.2%
52.52	1	0.1%
53.28	1	0.1%
53.6512	1	0.1%
54.237	1	0.1%

Value	Count	Frequency (%)
4743.43	1	0.1%
4493.27	1	0.1%
4363.853	1	0.1%
4265.42	1	0.1%
4242.75	1	0.1%
4011.915	1	0.1%
4008.7124	1	0.1%
3989.625	1	0.1%
3958.899	1	0.1%
3900.3345	1	0.1%

NArticulos
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	346
Distinct (%)	37.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.38088937

Minimum	1
Maximum	471.75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.3 KiB

Quantile statistics

Minimum	1
5-th percentile	4.05
Q1	11
median	29
Q3	78.78125
95-th percentile	254.9375
Maximum	471.75
Range	470.75
Interquartile range (IQR)	67.78125

Descriptive statistics

Standard deviation	85.00419076
Coefficient of variation (CV)	1.320332658
Kurtosis	5.391693684
Mean	64.38088937
Median Absolute Deviation (MAD)	23
Skewness	2.276235304
Sum	59359.18
Variance	7225.712446
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	76	8.2%
6	25	2.7%
4	23	2.5%
3	22	2.4%
13	21	2.3%
12	20	2.2%
7	20	2.2%
9	20	2.2%
10	17	1.8%
8	16	1.7%
Other values (336)	662	71.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	22	2.4%
4	23	2.5%
5	76	8.2%
6	25	2.7%
7	20	2.2%
8	16	1.7%
9	20	2.2%
10	17	1.8%

Value	Count	Frequency (%)
471.75	1	0.1%
459.75	1	0.1%
442.25	1	0.1%
439	1	0.1%
438	1	0.1%
436	1	0.1%
425.5	1	0.1%
417.5	1	0.1%
415.75	1	0.1%
405	1	0.1%

NContratos
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	127
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.52711497

Minimum	1
Maximum	179
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.3 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	7
median	15
Q3	33
95-th percentile	98
Maximum	179
Range	178
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	32.30449964
Coefficient of variation (CV)	1.173551957
Kurtosis	5.234898291
Mean	27.52711497
Median Absolute Deviation (MAD)	10
Skewness	2.256570701
Sum	25380
Variance	1043.580697
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	87	9.4%
6	76	8.2%
10	40	4.3%
7	38	4.1%
4	36	3.9%
12	31	3.4%
9	30	3.3%
16	28	3.0%
13	25	2.7%
11	24	2.6%
Other values (117)	507	55.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	2	0.2%
3	23	2.5%
4	36	3.9%
5	87	9.4%
6	76	8.2%
7	38	4.1%
8	21	2.3%
9	30	3.3%
10	40	4.3%

Value	Count	Frequency (%)
179	1	0.1%
174	1	0.1%
166	1	0.1%
165	1	0.1%
164	1	0.1%
161	1	0.1%
160	2	0.2%
159	1	0.1%
158	1	0.1%
153	1	0.1%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	Credit Limit Granted	Commercial Risk Cover Protected	Commercial Risk Group Code	Payment Method Granted	Payment Terms Granted	Status Code	IDCliente	VENTASCLIENTE	NArticulos	NContratos
0	1	0.0	0.0	0.0	0.0	0.0	2.0	110007	830.1700	121.00	121
1	3	0.0	0.0	0.0	0.0	0.0	2.0	130030	2402.7208	373.00	165
2	4	45000.0	95.0	1.0	99.0	180.0	66.0	140010	2044.0675	202.50	94
3	5	0.0	0.0	0.0	0.0	0.0	2.0	150003	295.3400	13.00	13
4	8	20000.0	95.0	3.0	99.0	180.0	66.0	180003	239.8400	12.00	12
5	9	45000.0	95.0	3.0	99.0	180.0	66.0	190002	388.8300	24.25	9
6	10	0.0	0.0	0.0	0.0	0.0	2.0	200004	154.5300	6.00	6
7	12	45000.0	95.0	2.0	99.0	180.0	66.0	220005	339.2500	39.00	24
8	13	45000.0	95.0	3.0	99.0	180.0	66.0	230004	591.3400	108.50	41
9	15	0.0	0.0	0.0	0.0	0.0	2.0	250008	983.5400	115.00	44

Last rows

	df_index	Credit Limit Granted	Commercial Risk Cover Protected	Commercial Risk Group Code	Payment Method Granted	Payment Terms Granted	Status Code	IDCliente	VENTASCLIENTE	NArticulos	NContratos
912	3832	45000.0	95.0	2.0	99.0	180.0	66.0	62470002	418.50	5.0	5
913	3833	45000.0	95.0	6.0	99.0	180.0	66.0	62480002	151.50	5.0	5
914	3845	10000.0	95.0	6.0	99.0	180.0	66.0	62700002	133.23	14.0	12
915	3855	45000.0	95.0	5.0	99.0	180.0	66.0	62860002	411.88	61.0	7
916	3859	45000.0	95.0	3.0	99.0	180.0	66.0	62960002	177.72	5.0	5
917	3874	20000.0	95.0	5.0	99.0	180.0	66.0	63220002	225.45	5.0	5
918	3875	38000.0	95.0	4.0	99.0	180.0	66.0	63240002	253.74	9.0	9
919	3886	45000.0	95.0	5.0	99.0	180.0	66.0	63420002	191.85	17.0	6
920	3888	45000.0	95.0	3.0	99.0	180.0	66.0	63450002	426.34	62.0	10
921	3891	45000.0	95.0	5.0	99.0	180.0	66.0	63500002	246.54	5.0	5

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Auto

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows